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The bench scientist's guide to statistical analysis of RNA-Seq data

Craig R Yendrek1*, Elizabeth A Ainsworth12 and Jyothi Thimmapuram34

Author Affiliations

1 USDA ARS Global Change and Photosynthesis Research Unit, 1201 W. Gregory Drive, Urbana, IL 61801, USA

2 Department of Plant Biology, University of Illinois, Urbana-Champaign, Urbana, IL, 61801, USA

3 Roy J. Carver Biotechnology Center, University of Illinois, Urbana-Champaign, Urbana, IL, 61801, USA

4 Current Address: Bioinformatics Core, Discovery Park, Purdue University, West Lafayette, IN, 47907, USA

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BMC Research Notes 2012, 5:506  doi:10.1186/1756-0500-5-506

Published: 14 September 2012

Additional files

Additional file 1:

RNA quality assessment. Five μg of total RNA for each sample was run on a 1% agarose gel. See Table  1 for description of sample number treatment.

Format: TIFF Size: 4.9MB Download file

Open Data

Additional file 2:

R software code. R software code used to analyze differential expression of the mapping file using edgeR and DESeq.

Format: PDF Size: 93KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 3:

Mapping file. Excel file consisting of raw reads mapped to the soybean reference transcriptome.

Format: TXT Size: 1.5MB Download file

Open Data